Our domain of interest is about education, more specifically how level and field of education affect salary and the gender disparities between different fields. Our data set was imported from fivethirtyeight which based its data from the United States Census. The data set contains information pertaining to the salary, employment, and gender data of different majors and levels of education.
There were a total of 5 datasets provided from our source. all-ages.csv, grad-students.csv, recent-grads.csv, majors-list.csv, and women-stem.csv. The recent-grads dataset contains all information from individuals <28, while grad-students contains all information from individuals ages 25+. Most of the data parsed was from the all-ages dataset. From the data analysis we can conclude that the field with the highest unemployment rate is Arts while the field with the lowest unemployment rate is Agriculture & Natural Resources. In addition, the field with the highest median salary is Engineering, while the field with the lowest median salary is Interdisciplinary. When comparing the median salary of students who had gone to grad school versus students who had not gone to grad school, the average difference was, $17651.78.
| Major Category | Average Median Salary | Average 25th Percentile Salary | Average 75th Percentile Salary |
|---|---|---|---|
| Engineering | 77759 | 52459 | 108534 |
| Computers & Mathematics | 66273 | 43427 | 95818 |
| Physical Sciences | 62400 | 39670 | 92000 |
| Business | 60615 | 41854 | 91462 |
| Health | 56458 | 40067 | 77500 |
| Agriculture & Natural Resources | 55000 | 36550 | 81300 |
| Social Science | 53222 | 37144 | 81222 |
| Law & Public Policy | 52800 | 36200 | 78800 |
| Industrial Arts & Consumer Services | 52643 | 35064 | 76857 |
| Biology & Life Science | 50821 | 33214 | 78771 |
| Communications & Journalism | 49500 | 34000 | 76250 |
| Humanities & Liberal Arts | 46080 | 31413 | 70933 |
| Psychology & Social Work | 44556 | 31011 | 64333 |
| Education | 43831 | 33222 | 58456 |
| Arts | 43525 | 29112 | 64500 |
| Interdisciplinary | 43000 | 32000 | 55000 |
## [1] "this chart was intended to display the proportion of women in different the major categories of STEM"
## [1] "The graph below arranges the different majors in categories and then calculates their average salary. It shows their wages from the hoghest to the lowest average pay"
## [1] "This chart was intended to visualize the difference between employeed students and unemployeed by majors. The radius of each dot is a representation of their salaries."